视觉传感机理与数据处理进展
Progress in mechanism and data processing of visual sensing
查看参考文献72篇
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文摘
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传统视觉感知以RGB光学图像和视频图像为主要数据源,借助计算机视觉的发展取得了巨大成功。然而,传统RGB光学成像也存在着光谱、采样速度、测量精度、可工作条件等方面的限制。近年来,视觉感知的新机理和新数据处理技术的迅速发展,为提升感知和认知能力带来了重大机遇;同时,也具有重要的理论价值和重大应用需求。本文围绕激光扫描、水声声呐成像、新体制动态成像、计算成像、位姿感知等研究方向,综述发展现状、前沿动态、热点问题和发展趋势。当前,在视觉传感研究领域,国内研究机构和团队在数据处理和应用方面取得了显著进展。整体上,国内依然要落后于欧美日等先进国家,尤其是在相关硬件的研制方面。最后,给出了发展趋势与展望,以期为相关研究者提供参考。 |
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其他语种文摘
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Traditional visual sensing is based on RGB optical and video imaging data and has achieved great success with the development of computer vision. However,traditional RGB optical imaging has limitations in spectral characterization, sampling effectiveness,measurement accuracy,and operating conditions. The new mechanism of visual sensing and new data processing technology have been developed rapidly recently,bringing considerable opportunities for improving sensing and cognitive capability. The developments are also endowed with important theoretical merits and offer a great chance for major application requirements. This report describes the development status and trends on visual sensing,including laser scanning,sonar,new dynamic imaging system,computational imaging,pose sensing,and other related fields. Researches on laser scanning are increasingly being conducted. In terms of algorithm developments for point cloud data processing, many domestic organizations and teams have reached international synchronization or leading level. Moreover,the application of point cloud data is more extensively shown by Chinese teams. However,at present,several foreign countries still show considerable advantages in hardware equipment,data acquisition,and pre-processing. In terms of event-based (i. e., dynamic vision sensor,DVS) imaging,domestic teams have focused on target classification,target recognition and tracking, stereo matching,and super resolution,achieving progress and breakthroughs. Hardware design and production technology of DVS are concentrated in foreign research institutes,and almost all these institutes have a research history of about 10 years. Few domestic institutions can independently produce DVS. Generally,although domestic DVS research started relatively late,the development in recent years has been very rapid. Moving target detection and underwater acoustic imaging for small static targets have always been the focus in the field of underwater information technology. Underwater acoustic imaging has the characteristics of military and civil applications. Domestically,high-tech research is mainly supported by civil sectors. For example,synthetic aperture sonar was developed under sustained national support. Substantial breakthroughs, such as in common mechanism,key technologies,and demonstration applications,are difficult to achieve in a short time. Therefore,sustained and stable support guarantees technological breakthroughs and industrialization. Learningbased visual positioning and 3D information processing have made remarkable progress,but many problems remain. In noncooperative target pose imaging perception,many countries and organizations with advanced technology for space have carried out numerous investigations,and results from some of these endeavors have been successfully applied to space operations in practice. By contrast,visual measurement of non-cooperative targets started late in China. Related programs are under way,such as for rendezvous and docking of space non-cooperative targets and on-orbit service of space robots. However, most of the related investigations remain in the stage of theoretical research and ground experiment verification,and no mature engineering application is available. According to the literature survey,at present,in the field of visual sensing, domestic institutions and teams have made substantial progress in data processing and application. |
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来源
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中国图象图形学报
,2020,25(1):19-30 【核心库】
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DOI
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10.11834/jig.190404
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关键词
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视觉传感
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激光扫描
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合成孔径声呐
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新体制动态成像
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计算成像
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位姿感知
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地址
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厦门大学, 福建省智慧城市感知与计算重点实验室, 厦门, 361005
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西安电子科技大学人工智能学院, 西安, 710071
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国防科技大学航天科学与工程学院, 长沙, 410073
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中国科学院西安光学精密机械研究所, 西安, 710119
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中国科学院声学研究所, 北京, 100190
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语种
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中文 |
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文献类型
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综述型 |
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ISSN
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1006-8961 |
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学科
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自动化技术、计算机技术 |
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文献收藏号
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CSCD:6708658
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